digital down-converter (DDC) converts a digitized real signal centered at an intermediate frequency (IF) to a basebanded complex signal centered at zero frequency. In addition to downconversion
Base band transmission
*Wave form representation of binary digits
*PCM, DPCM, DM, ADM systems
*Detection of signals in Gaussian noise
*Matched filter - Application of matched filter
*Error probability performance of binary signaling
*Multilevel base band transmission
*Inter symbol interference
*Eye pattern
*Companding
*A law and μ law
*Correlation receiver
Kinds of Propagation Models
Models of Different Types of Cells
Web Plot Digitizer Tool
Study of the parameters fc, d, hb, hm and Coverage Environments for each of OKUMURA, HATA and COST231
MATLAB Simulation
About DPSK and its transmission and receiver with a waveform of DPSK with a digital signal.
Numerical to find PSK, FSK, ASK, and DPSK.
Advantages and Disadvantages of DPSK
LTE Basic Parameters, Data Rates, Duplexing & Accessing, Modulation, Coding & MIMO, Explanation of different nodes and Advantage & Disadvantages of different nodes.
In this presentation, Interfacing Bluetooth(HC-05) with Arduino is explained with some AT commands to configure and initialize the Bluetooth module(HC-05).
Code for Arduino:
#include <SoftwareSerial.h>
SoftwareSerial mySerial(10, 11); // RX, TX
void setup()
{
Serial.begin(9600);
pinMode(9,OUTPUT); digitalWrite(9,HIGH);
Serial.println("Enter AT commands:");
mySerial.begin(38400);
}
void loop()
{
if (mySerial.available())
Serial.write(mySerial.read());
if (Serial.available())
mySerial.write(Serial.read());
}
Orthogonal Frequency Division Multiplexing, OFDM uses a large number of narrow sub-carriers for multi-carrier transmission to overcome the effect of multi path fading problem. LTE uses OFDM for the downlink, from base station to terminal to transmit the data over many narrow band careers of 180 KHz each instead of spreading one signal over the complete 5MHz career bandwidth. OFDM meets the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates.
The primary advantage of OFDM over single-carrier schemes is its ability to cope with severe channel conditions. Channel equalization is simplified. The low symbol rate makes the use of a guard interval between symbols affordable, making it possible to eliminate inter symbol interference (ISI).
Design and implementation of qpsk modulator using digital subcarrierGongadi Nagaraju
The digitally implemented QPSK modulator is developed for satellite communication for future satellite missions. As we know that for space application power and bandwidth are most important parameters.The size of PCB and component count are also important parameters. To reduce these all parameters we design new approach. The new approach also minimizes the component count and hence reduces the PCB size. In this modulator summation, orthogonal sub-carrier generation and mixing of subcarrier with data are all digitally implemented inside the FPGA
This presentation covers:
Some basic definitions & concepts of digital communication
What is Phase Shift Keying(PSK) ?
Binary Phase Shift Keying – BPSK
BPSK transmitter & receiver
Advantages & Disadvantages of BPSK
Pi/4 – QPSK
Pi/4 – QPSK transmitter & receiver
Advantages of Pi/4- QPSK
digital down-converter (DDC) converts a digitized real signal centered at an intermediate frequency (IF) to a basebanded complex signal centered at zero frequency. In addition to downconversion
Base band transmission
*Wave form representation of binary digits
*PCM, DPCM, DM, ADM systems
*Detection of signals in Gaussian noise
*Matched filter - Application of matched filter
*Error probability performance of binary signaling
*Multilevel base band transmission
*Inter symbol interference
*Eye pattern
*Companding
*A law and μ law
*Correlation receiver
Kinds of Propagation Models
Models of Different Types of Cells
Web Plot Digitizer Tool
Study of the parameters fc, d, hb, hm and Coverage Environments for each of OKUMURA, HATA and COST231
MATLAB Simulation
About DPSK and its transmission and receiver with a waveform of DPSK with a digital signal.
Numerical to find PSK, FSK, ASK, and DPSK.
Advantages and Disadvantages of DPSK
LTE Basic Parameters, Data Rates, Duplexing & Accessing, Modulation, Coding & MIMO, Explanation of different nodes and Advantage & Disadvantages of different nodes.
In this presentation, Interfacing Bluetooth(HC-05) with Arduino is explained with some AT commands to configure and initialize the Bluetooth module(HC-05).
Code for Arduino:
#include <SoftwareSerial.h>
SoftwareSerial mySerial(10, 11); // RX, TX
void setup()
{
Serial.begin(9600);
pinMode(9,OUTPUT); digitalWrite(9,HIGH);
Serial.println("Enter AT commands:");
mySerial.begin(38400);
}
void loop()
{
if (mySerial.available())
Serial.write(mySerial.read());
if (Serial.available())
mySerial.write(Serial.read());
}
Orthogonal Frequency Division Multiplexing, OFDM uses a large number of narrow sub-carriers for multi-carrier transmission to overcome the effect of multi path fading problem. LTE uses OFDM for the downlink, from base station to terminal to transmit the data over many narrow band careers of 180 KHz each instead of spreading one signal over the complete 5MHz career bandwidth. OFDM meets the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates.
The primary advantage of OFDM over single-carrier schemes is its ability to cope with severe channel conditions. Channel equalization is simplified. The low symbol rate makes the use of a guard interval between symbols affordable, making it possible to eliminate inter symbol interference (ISI).
Design and implementation of qpsk modulator using digital subcarrierGongadi Nagaraju
The digitally implemented QPSK modulator is developed for satellite communication for future satellite missions. As we know that for space application power and bandwidth are most important parameters.The size of PCB and component count are also important parameters. To reduce these all parameters we design new approach. The new approach also minimizes the component count and hence reduces the PCB size. In this modulator summation, orthogonal sub-carrier generation and mixing of subcarrier with data are all digitally implemented inside the FPGA
This presentation covers:
Some basic definitions & concepts of digital communication
What is Phase Shift Keying(PSK) ?
Binary Phase Shift Keying – BPSK
BPSK transmitter & receiver
Advantages & Disadvantages of BPSK
Pi/4 – QPSK
Pi/4 – QPSK transmitter & receiver
Advantages of Pi/4- QPSK
Signal and image processing on satellite communication using MATLABEmbedded Plus Trichy
Basic Explanations about satellite imaging and signal processing with the help of MATLAB.
Contact us: 23,Nandhi koil Street, Near Nakoda Showroom,Theppakulam,Trichy
Mb.No:9360212155.
Mail:embeddedplusproject@gmail.com,
FB:www.facebook.com/embeddedplusproject
This slide describe the techniques of digital modulation and Bandwidth Efficiency:
The first null bandwidth of M-ary PSK signals decrease as M increases while Rb is held constant.
Therefore, as the value of M increases, the bandwidth efficiency also increases.
Data comm4&5Data Communications (under graduate course) Lecture 3 of 5Randa Elanwar
Undergraduate course content:
Introduction: Types and sources of data, communication models, standards.
Data transmission: techniques, transmission media and characteristics.
Information theory: Information sources, information measure, entropy, source codes.
Line codes: characteristics, return-to-zero and non-return-to-zero signaling, bipolar alternate mark inversion, code (radix, redundancy and efficiency), important codes in current use, frequency spectra characteristics of common line codes, receiver clock synchronization, optical fiber systems, scramblers.
Modems: characteristics, modulation, equalization, control, V-standards.
Error Control: Transmission impairments, forward error control, linear block codes, feedback error control.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Achitecture Aware Algorithms and Software for Peta and Exascaleinside-BigData.com
Jack Dongarra from the University of Tennessee presented these slides at Ken Kennedy Institute of Information Technology on Feb 13, 2014.
Listen to the podcast review of this talk: http://insidehpc.com/2014/02/13/week-hpc-jack-dongarra-talks-algorithms-exascale/
With the introduction of FPGAs in the cloud, there is an increasing need for solutions able to accelerate traditional CPU code with minimum burden on the user, while retaining competitive performance. In this presentation, we illustrate OXiGen, a tool for the acceleration of dataflow-oriented C applications on FPGA-based systems. The tool offers a complete design flow to optimize C functions into dataflow accelerated kernels and an automated frequency-aware design-space exploration that selects an optimal set of optimizations for the given function. It allows to automatically simulate the resulting function by generating a testbench for the function. We compare the generated hardware designs against both the respective software implementations and state-of-the-art dataflow designs, reaching comparable performance with a hardware design generated in a few seconds.
High Speed and Area Efficient Booth Multiplier Using SQRT CSLA with Zero Find...IJERA Editor
Addition is one of the common and widely used fundamental arithmetic operation in many VLSI systems. The critical elements in general purpose and digital-signal processing processors are High performance VLSI integer adders as they are employed in the design of Arithmetic-Logic Units, in floating-point arithmetic data paths and in address generation units. The performance parameters for any adder are area, speed and delay. By using Square Root Carry Select Adder (SQRT CSLA), speed can be achieved. In designing new architecture, the Tradeoff between those parameters plays the major role. We can reduce area by using Zero Finding Logic (ZFC) technique, from the structure of SQRT CSLA. By using the Modified architecture we can reduce area. We can implement Booth multiplier by using the CSLA and SQRT CSLA with Zero finding logic. Implementation of Booth multiplier by using CSLA and SQRT CSLA with Zero finding logic is proposed for better speed applications and efficient area applications.
Design And Simulation of Modulation Schemes used for FPGA Based Software Defi...Sucharita Saha
Design of a BPSK and QPSK digital Modulation scheme and its implementation on FPGAs for universal mobile telecommunications system and SDR applications. The simulation of the system is made in MATLAB Simulink environment and System Generator, a tool used for FPGA design. Hardware Co-Simulation is designed using VHDL a hardware description language targeting a Xilinx FPGA and is verified using MATLAB Simulink. It is then converted to VHDL level using Simulink HDL coder. The design is synthesized and fitted with Xilinx 14.2 ISE Edition software, and downloaded to Spartan 3E (XC3S500E) board.
In this deck from the NVIDIA GPU Technology Conference, Axel Koehler presents: Inside the Volta GPU Architecture and CUDA 9.
"The presentation will give an overview about the new NVIDIA Volta GPU architecture and the latest CUDA 9 release. The NVIDIA Volta architecture powers the worlds most advanced data center GPU for AI, HPC, and Graphics. Volta features a new Streaming Multiprocessor (SM) architecture and includes enhanced features like NVLINK2 and the Multi-Process Service (MPS) that delivers major improvements in performance, energy efficiency, and ease of programmability. New features like Independent Thread Scheduling and the Tensor Cores enable Volta to simultaneously deliver the fastest and most accessible performance. CUDA is NVIDIA''s parallel computing platform and programming model. You''ll learn about new programming model enhancements and performance improvements in the latest CUDA9 release."
Watch the video: https://wp.me/p3RLHQ-iB7
Learn more: https://www.nvidia.com/en-us/gtc/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
How world-class product teams are winning in the AI era by CEO and Founder, P...
Hardware Implementation Of QPSK Modulator for Satellite Communications
1. Hardware Implementation of QPSK Modulator for Satellite Communication Presented By : Kiran Prajapati Pradeep Santdasani Internal Guide : Dhara Shah Lecturer (EC Dept.) L C Institute of Tech . External Guide : E P Balasubramanian Group Director SPSG Space Application Center (ISRO)
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6. QPSK Modulator I data Q data + Cos ω c t Modulator Output Block Diagram sin ω c t I - Signal 1 bit = 180 o 0 bit = 0 o 0 bit = 90 o 00 bit = 45 o 10 bit = 315 o 01 bit =135 o 11 bit = 225 o Q - Signal 1 bit = 270 o Constellation Description of QPSK Modulator June 9, 2009
7. QPSK Modulator Equations I - Signal sin ( ω c t - 45 ) Q - Signal -cos ω c t Phasor Diagram +cos ω c t +sin ω c t -sin ω c t sin ( ω c t - 135 ) sin ( ω c t + 45 ) sin ( ω c t + 135 ) Description of QPSK Modulator June 9, 2009 I Data Q data I Mod O/P Q Mod O/P QPSK O/P QPSK O/P Phase 0 0 sin ω c t cos ω c t sin ω c t + cos ω c t = sin ( w c t + 45 ) 45˚ 0 1 sin ω c t -cos ω c t sin ω c t - cos ω c t = sin ( ω c t + 135) 135˚ 1 0 - sin ω c t cos ω c t - sin ω c t + cos ω c t = sin ( ω c t - 45 ) 315˚ 1 1 - sin ω c t -cos ω c t - sin ω c t - cos ω c t = sin ( ω c t - 135 ) 225˚
10. QPSK Modulator Unipolar to Bipolar Upsampling Carrier Unipolar to Bipolar Upsampling 90 o I data Q data Multiplier Multiplier Adder QPSK Modulator Block Diagram Matlab Simulation of QPSK Modulator June 9, 2009
16. QPSK Modulator QPSK Spectrum Matlab Simulation of QPSK Modulator June 9, 2009
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18. QPSK Modulator Unipolar to Bipolar Upsampling Carrier Unipolar to Bipolar Upsampling 90 o I data Q data Shaping Shaping Multiplier Multiplier Adder QPSK Modulator Block Diagram Matlab Simulation of QPSK Modulator June 9, 2009
19. QPSK Modulator QPSK Spectrum Matlab Simulation of QPSK Modulator June 9, 2009
20. QPSK Modulator Carrier Frequency ƒc = 25 MHz Data Frequency ƒd = 25 MHz Roll off Factor α = 0.3 Bandwidth = 16.25 MHz Matlab Simulation of QPSK Modulator QPSK Bandwidth June 9, 2009
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25. QPSK Modulator I data + Look Up Table sinw c t I Carrier Q Carrier Shaping filter Unipolar to bipolar Shaping filter Unipolar to bipolar Q data QPSK Modulated Signal Look Up Table cosw c t QPSK Modulator Block Diagram Hardware Implementation of QPSK Modulator June 9, 2009
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27. QPSK Modulator I & Q Carrier Signal Generation Hardware Implementation of QPSK Modulator June 9, 2009
28. QPSK Modulator Simulated Implemented QPSK Modulated Signal Hardware Implementation of QPSK Modulator June 9, 2009
29. QPSK Modulator QPSK Spectrum Hardware Implementation of QPSK Modulator June 9, 2009